College of Mechanical and Electrical Engineering 1 article published in JoVE Engineering Optimization of An Air-Based Heat Management System for Dusty Particulate Matter-Covered Lithium-Ion Battery Packs Xiaohui Feng1, Zhenzhe Li1, Shujiao Pang1, Ming Ren1, Zhenmu Chen1 1College of Mechanical and Electrical Engineering, Wenzhou University Here, we present the adaptive simulated annealing method (ASAM) to optimize an approximate quadratic response surface model (QRSM) corresponding to a dusty particulate matter-covered battery heat management system and fulfill the temperature drops back by adjusting the airflow velocities combination of system inlets.
